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Job description
We're looking for a Data Engineer who can elevate how our clients collect, process, and leverage massive datasets — someone who loves building modern data pipelines and wants their work to power meaningful, real-world impact.
Design, build, and maintain scalable data pipelines across diverse environments. Integrate data from multiple internal and external sources into data warehouses or data lakes. Collaborate closely with Data Scientists, ML Engineers, and Developers to ensure data quality, structure, and availability.
We're looking for somebody with a collaborative mindset — you enjoy working closely with cross-functional teams. You should have strong experience building scalable backend systems in Python and a good understanding of performance optimization and Python internals.
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Company
Tech, Software & IT Services • Healthcare
Appsilon is a technology partner for life‑science organizations, specializing in open‑source AI, R, and Python solutions that accelerate drug development within regulated environments. The company delivers cloud‑based statistical computing environments, SAS‑to‑Open‑Source migrations, and custom software development, including Shiny dashboards and enterprise data engineering. By blending data science, machine learning, and deep‑learning expertise with a focus on compliance, Appsilon enables its clients to innovate faster while maintaining regulatory rigor. Their distinctive value lies in merging open‑source technology with industry‑specific expertise to streamline and democratize advanced analytics for pharmaceutical research and development.